Overview
- Intro/Context
- Forests are globally important
- Anthropocence effects
- Global forest loss and gain and change
- Global greening = India(Agriculture) + China(Forests)
- Economics*Ecology = Landscape Extended Models
- Network Analysis of China’s Greening
- Global Scale
- Local Scale
- Landscape = Chen 2019
- Resilience Analysis of China’s Forest LE-MRIO
- Conclusions and Future Work
- Acknowledgements
Overview
Globally Forests are Important
- biodiversity
- water and nutrient cycling
- carbon storage
- resources(wood, food)
- culturally
The Anthropocene
- Humans = dominant global impact -> Anthropocene
- Global = Climate Change
- Indirect Effects Significant
In the Anthropocene, Economy is Global Ecology
- Economic trade data is a window into human impacts
- Brief history of IO and ENA analyses
- Global Trade Models
- Trade Networks MRIO = Sectors + Regions
- Environmental Extensions
- Forested Landscapes and Embodied Trade Networks
Interactions/Trade = Complex Systems
- Indirect effecs and The far reach of the city
- Complex systems = many players and indirect effects matter (surprising)
A little money moves a lot of forest.
- Tian et al. 2019 showed that China consumes an equivalent amount of domestic cropland as forest land, on the order of 10\(^6\) km\(^2\).
- Looking at the domestic landuse productivity data for China, forests have the lowest monetary productivity.
- Thus, per unit monetary output a relatively larger amount of forest land is used.
A little money moves a lot of forest.
- Tian et al. 2019 showed that China consumes an equivalent amount of domestic cropland as forest land, on the order of 10\(^6\) km\(^2\).
- Looking at the domestic landuse productivity data for China, forests have the lowest monetary productivity.
- Thus, per unit monetary output a relatively larger amount of forest land is used.
Global Landuse Trade and China
Global Landuse Trade and China
Background: Environmental Extension
- Allows for indirect/consumption based accounting
Background: Environmental Extension
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Background: Networks are Everywhere
Background: Networks are Everywhere
Background: Ecological Network Analysis
- Ecological network theory provides predictions and metrics (Lau 2017)
- Systems theory provides strategies for inteventions
- ENA <- Odums, MacArthur, Ulanowicz, Patten,
- SNA -> ecological networks (Watts and Strogatz, etc.)
- Structure linked to function (Donella Meadows)
Which metric?
Why information metrics?
Research: Why Chinese Forests?
- Work = Forest Land Embodied in Trade
A Brief History of Forest Time in China
- China is big and diverse
- Long history of human habitation in China
- Historically, two primary regions of forestry
- Forest conservation impacts harvest
- Flows within China and among countries globally important
Research: Why Chinese Forests?
